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📃 Edge#247: Classifying ML Interpretability MethodsIn this issue: we classify ML interpretability methods; we explore the building blocks of interpretability by Google Research; we explain TensorWatch, an open-source framework for debugging ML models. Enjoy the learning! 💡 ML Concept of the Day: Classifying ML Interpretability…
📝 Guest post: Burst Compute: Scaling Workloads Across Thousands of GPUs in the Cloud, Instantly*The smartest companies are evolving toward more flexible, on-demand cloud infrastructure using a technique called burst compute, which provides enterprises with accessible, efficient, and cost-effective computing. What is Burst Compute? Burst compute is a use case that requires…
TheSequence
Recap
Interviews
Justin Harris/Microsoft"My vision is for people to be compensated for the data they provide while keeping models free to use"
Joe Doliner/CEO of Pachydermon developing a canonical ML stack and main challenges for mainstream developer adoption
Mike Del Balso/Tecton"There is too much depth in this space for feature stores to be just a “feature”